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UBDS Group

Senior AI Platform Engineer

London
Posted about 21 hours ago
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Senior AI Platform Engineer

UBDS Group delivers modern cloud, data and AI solutions across public and private sector organisations. We design and build scalable, secure and production-ready platforms that solve real-world problems and deliver measurable outcomes.

We’re looking for a Senior AI Platform Engineer who combines strong AI architecture knowledge with hands-on engineering capability. This is a senior technical role for someone who can design and build AI platforms and production AI solutions, work closely with delivery teams and contribute to the continued development of AI engineering capability within UBDS.

The Role

As a Senior AI Platform Engineer at UBDS, you will play a key role in the design and implementation of AI architectures and solutions across complex transformation programmes.

You’ll work closely with architects, engineers and client teams to take AI solutions from early-stage experimentation through to secure, scalable and operationally ready production environments.

What You’ll Do

  • Design and implement AI architectures and production AI solutions.
  • Help clients move AI solutions from experimentation into secure production delivery for large-scale user bases.
  • Contribute to platform standards covering governance, observability, security, orchestration and operational support.
  • Participate in technical discovery and client architecture discussions.
  • Work closely with delivery, account and capability teams to help shape AI solutions and opportunities.
  • Provide technical guidance and support to engineers working across AI engineering delivery.
  • Develop reusable engineering patterns, accelerators and reference architectures.
  • Contribute to internal AI enablement and automation initiatives across UBDS.
  • Work collaboratively with architects and technical leads to ensure solutions align with wider cloud, data, security and enterprise architecture requirements.

What We’re Looking For

Essential Experience

  • Strong hands-on engineering background with experience delivering secure AI platforms, AI-enabled applications or machine learning solutions into production environments.
  • Strong understanding of modern AI architecture patterns and real-world operational delivery, including MLOps and Evals.
  • Strong Python engineering capability and experience working across cloud-native engineering environments.
  • Experience integrating AI capabilities into wider enterprise, cloud and data ecosystems.
  • Experience taking technical ownership of solutions or significant engineering workstreams.
  • Comfortable working directly with client stakeholders and explaining technical decisions clearly.
  • Ability to collaborate effectively with architects, engineers and multidisciplinary delivery teams.
  • Experience supporting or mentoring other engineers.
  • Experience with some of the following technologies or ecosystems:
    • Amazon Bedrock and SageMaker
    • Claude / Anthropic
    • Azure AI Foundry or Azure OpenAI
    • Databricks
    • Vector databases and RAG architectures
    • Agentic AI orchestration frameworks and MCP servers
    • Model and data lifecycle management

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Desirable Experience

  • Experience working within public sector or regulated environments.
  • Experience with secure government delivery environments.
  • Experience supporting bids, pre-sales or technical discovery activities.
  • Knowledge of responsible AI and AI governance frameworks.
  • Experience contributing to engineering standards, reusable patterns or technical communities of practice.

We do not expect candidates to have deep expertise across every technology listed above. We are looking for individuals with strong real-world production AI delivery experience, solid architectural understanding and the ability to adapt across evolving AI ecosystems.

Why people choose to grow their careers at UBDS Group

Professionals choose to grow their careers at UBDS Group for its reputation as a dynamic and forward-thinking organisation that is deeply committed to both innovation and employee development. At UBDS Group, employees are given unique opportunities to work on cutting-edge projects across a diverse range of industries, exposing them to new challenges and learning opportunities that are pivotal for professional growth. The Group’s culture emphasises continuous improvement, offering ample training programs, mentorship, and the chance to gain certifications that enhance their skills and marketability.

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UBDS Group fosters a collaborative environment where creativity and innovation are encouraged, allowing employees to contribute ideas and solutions that have a tangible impact on the company and its clients. This combination of professional development, a culture of innovation, and the opportunity to make meaningful contributions makes UBDS Group an attractive place for those looking to advance their careers and be at the forefront of technological and operational excellence.

Employee Benefits

  • Training – All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more.
  • Private medical cover for you and your spouse/partner, offered via Vitality.
  • Discretionary bonus based on a blend of personal and company performance.
  • Holiday – You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays.
  • Electric Vehicle leasing with salary sacrifice.
  • Contributed Pension Scheme.
  • Death in service cover.

About UBDS Group

At UBDS Group our mission is to support entrepreneurs who are setting new standards with technology solutions across cloud services, cybersecurity, data and AI, ensuring that every investment advances our commitment to innovation, making a difference, and creating impactful solutions for organisations and society.

Equal Opportunities

We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

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Skills

Python
AI architecture
MLOps
Cloud-native engineering
Amazon Bedrock
SageMaker
Azure AI Foundry
Azure OpenAI
Databricks
Vector databases
RAG architectures
Agentic AI orchestration
Model lifecycle management
Data lifecycle management
Technical leadership
Stakeholder management

Location

London, England, United Kingdom

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